Evidence map›Paper›PMID 33997835›Full record

ArticleThe Lancet regional health. Europe2021

Factors associated with deaths due to COVID-19 versus other causes: population-based cohort analysis of UK primary care data and linked national death registrations within the OpenSAFELY platform.

Krishnan Bhaskaran, Sebastian Bacon, Stephen Jw Evans, Chris J Bates, Christopher T Rentsch, Brian MacKenna, Laurie Tomlinson, Alex J Walker, Anna Schultze, Caroline E Morton and 17 more

Abstract read
In one paragraph

Article in The Lancet regional health. Europe, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

103 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Are Pre-Hospitalization ECG Abnormalities Associated With Increased Mortality in COVID-19 Patients? A Quantitative Systematic Literature Review.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2024
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Observational
  18. Article
  19. Article
  20. Article

43 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

27 authors.

Krishnan BhaskaranFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine.
Sebastian BaconThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Stephen Jw EvansFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine.
Chris J BatesThe Phoenix Partnership, TPP House, Horsforth, Leeds, UK.
Christopher T RentschFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine.
Brian MacKennaThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Laurie TomlinsonFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine.
Alex J WalkerThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Anna SchultzeFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine.
Caroline E MortonThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Daniel GrintFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine.
Amir MehrkarThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Rosalind M EggoFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine.
Peter InglesbyThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Ian J DouglasFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine.
Helen I McDonaldFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine.
Jonathan CockburnThe Phoenix Partnership, TPP House, Horsforth, Leeds, UK.
Elizabeth J WilliamsonFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine.
David EvansThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Helen J CurtisThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
William J HulmeThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
John ParryThe Phoenix Partnership, TPP House, Horsforth, Leeds, UK.
Frank HesterThe Phoenix Partnership, TPP House, Horsforth, Leeds, UK.
Sam HarperThe Phoenix Partnership, TPP House, Horsforth, Leeds, UK.
David SpiegelhalterWinton Centre for Risk and Evidence Communication, Statistical Laboratory Centre for Mathematical Sciences, Cambridge, UK.
Liam SmeethFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine.
Ben GoldacreThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.

Funding

Medical Research Council MC_PC_19065Medical Research Council MC_PC_20029Medical Research Council MR/R010161/1Medical Research Council MR/S003975/1Medical Research Council MR/V015737/1
6 · The paper itself

Abstract

backgroundMortality from COVID-19 shows a strong relationship with age and pre-existing medical conditions, as does mortality from other causes. We aimed to investigate how specific factors are differentially associated with COVID-19 mortality as compared to mortality from causes other than COVID-19.

methodsWorking on behalf of NHS England, we carried out a cohort study within the OpenSAFELY platform. Primary care data from England were linked to national death registrations. We included all adults (aged ≥18 years) in the database on 1

findings17,456,515 individuals were included. 17,063 died from COVID-19 and 134,316 from other causes. Most factors associated with COVID-19 death were similarly associated with non-COVID death, but the magnitudes of association differed. Older age was more strongly associated with COVID-19 death than non-COVID death (e.g. ORs 40.7 [95% CI 37.7-43.8] and 29.6 [28.9-30.3] respectively for ≥80 vs 50-59 years), as was male sex, deprivation, obesity, and some comorbidities. Smoking, history of cancer and chronic liver disease had stronger associations with non-COVID than COVID-19 death. All non-white ethnic groups had higher odds than white of COVID-19 death (OR for Black: 2.20 [1.96-2.47], South Asian: 2.33 [2.16-2.52]), but lower odds than white of non-COVID death (Black: 0.88 [0.83-0.94], South Asian: 0.78 [0.75-0.81]).

interpretationSimilar associations of most individual-level factors with COVID-19 and non-COVID death suggest that COVID-19 largely multiplies existing risks faced by patients, with some notable exceptions. Identifying the unique factors contributing to the excess COVID-19 mortality risk among non-white groups is a priority to inform efforts to reduce deaths from COVID-19.

fundingWellcome, Royal Society, National Institute for Health Research, National Institute for Health Research Oxford Biomedical Research Centre, UK Medical Research Council, Health Data Research UK.

Indexed as

COVID-19EpidemiologyMortality

Identifiers

PMID33997835
PMCPMC8106239

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.